Location conscious social networking apparatuses, methods and systems

Abstract

The LOCATION-CONSCIOUS SOCIAL NETWORKING APPARATUSES, METHODS, AND SYSTEMS (“LCSN”) transforms user personality and location inputs via LCSN components into match and transaction outputs. LSCN may be a processor-implemented method for location-conscious social networking, involving collecting personality details pertaining to a user, analyzing the personality details and constructing a personality profile for the user. The LCSN may also collect geolocation information from the user and compare it to geolocation data from other users, may use user personality profiles to calculate a compatibility rating between the user and other users, and may send an alert to users if the geolocation data indicates that the user is within a specified distance of another user, and/or if the users are matches for each other. Users may further be able to express anonymous interest in other users by anonymously rating potential matches.

What is claimed is: 
     
       1. A processor-implemented method for location-conscious social networking, comprising:
 collecting via a processor personality details pertaining to a user; 
 analyzing the personality detailed via the processor and generating at least one personality keyword associated with the user's personality; 
 constructing via the processor a personality profile for the user based on the at least one generated personality keyword; 
 collecting via the processor geolocation information regarding the user including (a) at least a first geolocation and a first point-in-time and (b) a second geolocation and a second point-in-time; 
 comparing the geolocation regarding the user with geolocation data associated with at least one other user; 
 calculating a compatibility rating for the user and the at least one other user based on the personality profile for the user and at least one personality profile associated with the at least one other user; 
 sending an alert to the user and the at least one other user if (a) the geolocation data regarding the user and the geolocation data associated with the at least one other user indicate that the user and the at least one other user are within a specified distance of one another and (b) the user and the at least one other user share a common hobby, habit, business objective or trait personality; 
 receiving an anonymous indication of interest from the user in regards to the at least one other user, at the first geolocation and at the first point-in-time; 
 storing the anonymous indication of interest; 
 sending a notification of interest to the user and the at least one other user if the at least other user has also indicated interest in the user at the second geolocation or at the second point-in-time; and 
 forwarding messages sent from the user to the at least one other user, and from the at least one other user to the user, if the at least one other user has also indicated interest in the user. 
 
     
     
       2. The method of  claim 1 , wherein the personality details correspond to at least one of a hobby, a habit, business objectives, or trait personality keywords. 
     
     
       3. The method of  claim 1 , wherein the personality details are analyzed via a natural language processing component. 
     
     
       4. The method of  claim 1 , wherein the geolocation data is GPS data. 
     
     
       5. The method of  claim 1 , wherein the geolocation data is based on Wi-Fi network data. 
     
     
       6. The method of  claim 1 , wherein the geolocation data is based on mobile phone network data. 
     
     
       7. The method of  claim 1 , wherein the alert includes profile information associated with the at least one other user. 
     
     
       8. The method of  claim 1 , wherein the geolocation data is based on using any of GPS, Wi-Fi, Bluetooth, or mobile phone network data utilized with an image processing component. 
     
     
       9. The method of  claim 1 , wherein the geolocation data is based solely on an image processing component. 
     
     
       10. An apparatus for location-conscious social networking, comprising:
 a processor; and 
 a memory in communication with the processor possessing processor-readable instructions to:
 collect via a processor personality details pertaining to a user; 
 analyze the personality details via the processor and generating at least one personality keyword associated with the user's personality; 
 construct via the processor a personality profile for the user based on the at least one generated personality keyword; 
 collect via the processor geolocation information regarding the user including (a) at least a first geolocation and a first point-in-time and (b) a second geolocation and a second point-in-time; 
 compare the geolocation regarding the user with geolocation data associated with at least one other user; 
 calculate a compatibility rating for the user and the at least one other user based on the personality profile for the user and at least one personality profile associated with the at least one other user; 
 send an alert to the user and the at least one other user if (a) the geolocation data regarding the user and the geolocation data associated with the at least one other user indicate that the user and the at least one other user are within a specified distance of one another and (b) the user and the at least one other user share a common hobby, habit, business objective or trait personality; 
 receive an anonymous indication of interest from the user in regards to the at least one other user, at the first geolocation and at the first point-in-time; 
 store the anonymous indication of interest; 
 send a notification of interest to the user and the at least one other user if the at least other user has also indicated interest in the user at the second geolocation or at the second point-in-time; and 
 forward messages sent from the user to the at least one other user, and from the at least one other user to the user, if the at least one other user has also indicated interest in the user. 
 
 
     
     
       11. The apparatus of  claim 10 , wherein the personality details correspond to at least one of a hobby, a habit, or trait personality keyword. 
     
     
       12. The apparatus of  claim 10 , wherein the personality details are analyzed via a natural language processing component. 
     
     
       13. The apparatus of  claim 10 , wherein the geolocation data is GPS data. 
     
     
       14. The apparatus of  claim 10 , wherein the geolocation data is based on Wi-Fi network data. 
     
     
       15. The apparatus of  claim 10 , wherein the geolocation data is based on mobile phone network data. 
     
     
       16. The apparatus of  claim 10 , wherein the alert profile information associated with the at least one other user. 
     
     
       17. A system for location-conscious social networking, comprising:
 means to collect via a processor personality details pertaining to user; 
 means to analyze the personality details via the processor and generating at least one personality keyword associated with the user's personality; 
 means to construct via the processor a personality profile for the user based on the at least one generated personality keyword; 
 means to collect via the processor geolocation information regarding the user including (a) at least a first geolocation and a first point-in-time and (b) a second geolocation and a second point-in-time; 
 means to compare the geolocation regarding the user with geolocation data associated with at least one other user; 
 means to calculate a compatibility rating for the user and the at least one other user based on the personality profile for the user and at least one personality profile associated with the at least one other user; 
 means to send an alert to the user and the at least one other user if (a) the geolocation data regarding the user and the geolocation data associated with the at least one other user indicate that the user and the at least one other user are within a specified distance of one another and (b) the user and the at least one other user share a common hobby, habit, business objective or trait personality; 
 means for receiving an anonymous indication of interest from the user in regards to the at least one other user, at the first geolocation and at the first point-in-time; 
 means for storing the anonymous indication of interest; 
 means for sending a notification of interest to the user and the at least one other user if the at least other user has also indicated interest in the user at the second geolocation or at the second point-in-time; and 
 means for forwarding messages sent from the user to the at least one other user, and from the at least one other user to the user, if the at least one other user has also indicated interest in the user. 
 
     
     
       18. The system of  claim 17 , wherein the personality details correspond to at least one of a hobby, a habit, or trait personality keywords. 
     
     
       19. The system of  claim 17 , wherein the personality details are analyzed via a natural language processing component. 
     
     
       20. The system of  claim 17 , wherein the geolocation data is GPS data. 
     
     
       21. The system of  claim 17 , wherein the geolocation data is based on Wi-Fi network data. 
     
     
       22. The system of  claim 17 , wherein the geolocation data is based on mobile phone network data. 
     
     
       23. The system of  claim 17 , wherein the alert includes profile information associated with the at least one other user.